State Water Resources Research Institute Program
Project ID: 2012ND257B
Title: Toward Understanding the Hydrologic Processes on Topographic Surfaces with Depressions - Development of a Physical-based Distributed Puddle-to-Puddle (P2P) Hydrologic Model
Project Type: Research
Start Date: 3/01/2012
End Date: 2/28/2013
Congressional District: 001
Focus Categories: Hydrology, Surface Water
Keywords: Hydrologic Processes, Overland Flow, Depression topography
Principal Investigator: Chu, Xuefeng (North Dakota State University)
Federal Funds: $ 10,000
Non-Federal Matching Funds: $ 20,000
Abstract: Hydrologic functions and behaviors of depressions in topography are poorly understood due to their spatially and temporally varied hydrologic processes. Flooding is the hydrologic problem of top most concern in North Dakota. Poor understanding of the regional hydrologic processes may result in difficulty in flood prediction. Although depressions play a critical role in hydrological processes, depressions are rarely explicitly incorporated into hydrologic modeling due to the complexity of simulating these hydrological processes. To avoid simulating the complex water movement in depressions, many models rely on removing depressions by smoothing the DEM data to define a fully connected drainage network of a watershed. Most of the widely used models are not capable of simulating all the spatial and temporal dynamics of the individual depressions and their interactions.
The goal of this proposed study is to develop a state-of-the-art, physically-based distributed puddle-to-puddle (P2P) hydrologic model capable of simulating the spatially and temporally varied hydrologic processes of depressions and their dynamic interactions. Specific objectives of the study are: